Departmental Profile
I would like to extend my warmest welcome to you as the Head of Department of Artificial Intelligence. AI is the most flourishing discipline that cultivates at the cross road of new trends in other disciplines and has impact on the every futuristic technology. World is seeing AI as the base technology of modernizing the existing world. Since 1950, AI is adding new edge to technology and its use and will continue to serve as the core of all technologies in the 21st century. Department of AI is dedicatedly help you in formulate your future and the future leaders from you for these innovations and provide the most challenging skills. Department of AI is committed to excellence in teaching, research and inculcating a sense of pride and confidence in our students.
The objective is to empower our students with latest technical knowledge and skills of AI by providing them with the best hands on training and teaching facility like state of the art lab facilities and excellent research and development environment along with best teachers to teach and motivate. The motivation is not just to nurture their technical skills but to provide professional grooming and guidance so that our students come-up as methodical professionals and inspiring individuals. To meet the objectives the department takes special emphasis on teaching and hands on practical work.
Dr. Aniruddha Subhashchandra Rumale
HOD
Artificial Intelligence
To produce globally competent & ethical professionals, innovators, and entrepreneurs having strong knowledge and urge to learn latest technologies in the field of Artificial Intelligence.
The department continuously strives
- Pursue excellence in Artificial Intelligence, able to adapt changing technologies through effective Teaching- Learning and practical research process.
- Develop competent and ethical professionals for global market with the spirit of self-study, team work, innovation.
- Promote continuous learning, entrepreneurial skills and research.
Program Offered
| Sr. No. | Programme Level | Name of Course | Course Type | Medium of Instruction | Course Establishment | Sanctioned Intake |
|---|---|---|---|---|---|---|
| 1 | UG | Artificial Intelligence | Regular | English | 2020 | 120 |
Syllabus
Lab Details
Training Program
Research Publication
Student Performance
POs, PSOs and PEOs
Program Outcomes (PO)
PO 1: Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
PO 2: Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
PO 3: Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
PO 4: Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions
PO 5: Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations
PO 6: The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice
PO 7: Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
PO 8: Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
PO 9: Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings
PO 10: Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
PO 11: Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
PO 12: Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.
Program Specific Outcome (PSOs)
PSO1: The ability to analyze, design and develop artificially intelligent software as well as hardware systems by applying the knowledge acquired in AI core courses such as Data Science, Machine Learning, AI enabled Operating system, database, computer network, IoT, WSN, Robotics, Pervasive Computing, HCI, computer organization and architecture, software engineering.
PSO2: The utilization of skills assimilated in BTech AI Course to build up an innovative AI based systems in advanced areas of Database, Networking, WSN, IoT, Robotics, Automation, Computing, Agriculture, Medical, etc.
PSO3: Establishing oneself as a global standard AI professional with good morals, ethics and sensitivity towards mankind and as a responsible global citizen.
Program Educational Objectives(PEOs)
Our Graduates in Artificial Intelligence will be able to demonstrate:
PEO 1: To analyze, design and develop cost effective solutions to the real life problems by applying the acquired knowledge.
PEO 2: Adoptability to learn latest technological advancement and interdisciplinary approaches by engaging in lifelong learning process.
PEO 3: Willingness to pursue higher education, entrepreneurship and research in the field of Artificial Intelligence.
PEO 4: Being responsible towards society, environment, responsible and ethical team member with interpersonal and leadership skills.